Claude Opus 4.7 Tops with 87.7 Points: 2026-10-27 Smoke Quick Test Data Brief

The 2026-10-27 YZ Index Smoke Quick Test covered 13 models, with Claude Opus 4.7 ranking first for the day at 87.7 points. Smoke is a daily 10-question quick test, suitable for observing short-term signals and not equivalent to conclusions from the Full weekly leaderboard.

This Smoke evaluation covers only two main leaderboard dimensions: Code Execution and Material Constraints. The main leaderboard formula is 0.55 × Code Execution + 0.45 × Material Constraints. Because the daily sample size is small, single-day scores are better used as monitoring signals rather than long-term conclusions about model capability.

Daily Rankings

RankModelMain LeaderboardCode ExecutionMaterial ConstraintsIntegrity
#1Claude Opus 4.787.799.872.9pass
#2GPT-5.578.4910052.2pass
#3Gemini 3.1 Pro77.347580.2pass
#4GPT-6 Astra76.6510048.1pass
#5Claude Sonnet 4.676.5499.848.1pass
#6GPT-6 Luna72.4610038.8pass
#7Grok 472.2894.645pass
#8GPT-6.1 Sol62.97548.1pass
#9GPT-6 Sol61.917545.9pass
#10GPT-o360.315072.9pass
#11DeepSeek V4 Pro56.845065.2pass
#12Gemini 2.5 Pro555061.1pass
#13Doubao Pro45.342570.2pass

Data Interpretation

In today's YZ Index Smoke Quick Test, Claude Opus 4.7 ranked first with a main leaderboard score of 87.7. Its Code Execution at 99.8 and Material Constraints at 72.9 form a high-level combination, indicating that both contribute in a balanced way to the formula result of 0.55 × Code Execution + 0.45 × Material Constraints. GPT-5.5 follows closely with a main leaderboard score of 78.49; its Code Execution is 100 but Material Constraints is only 52.2, reflecting a structure dominated by Code Execution. Gemini 3.1 Pro, with a main leaderboard score of 77.34, shows a relatively balanced combination of Code Execution at 75 and Material Constraints at 80.2. GPT-6 Astra, with a main leaderboard score of 76.65, likewise relies on Code Execution at 100 while Material Constraints is 48.1.

Compared with the previous run under the same methodology, GPT-5.5's main leaderboard score rose 46.3 points, mainly from Code Execution rising 92.6 points while Material Constraints fell 10.2 points; Claude Opus 4.7's main leaderboard score rose 36.7 points, accompanied by a 70-point rise in Code Execution; Gemini 3.1 Pro's main leaderboard score rose 34.3 points, with Code Execution up 50 points and Material Constraints up 15 points. GPT-o3's main leaderboard score rose 24.9 points, corresponding to a 50-point rise in Code Execution, while GPT-6.1 Sol's main leaderboard score fell 23.2 points, accompanied by a 25-point drop in Code Execution and a 20.9-point drop in Material Constraints. These single-day changes may stem from question sampling fluctuations or may reflect real changes in model performance and require follow-up runs for confirmation.

The Smoke Quick Test is a small-sample, single-day signal. There are currently no anomaly signals, and all models have Integrity pass. Interpretation is limited to analysis of today's data structure and does not make long-term inferences.

Key Changes

  • GPT-5.5: Main leaderboard up 46.3 points, Code Execution +92.6 points, Material Constraints -10.2 points
  • Claude Opus 4.7: Main leaderboard up 36.7 points, Code Execution +70 points
  • Gemini 3.1 Pro: Main leaderboard up 34.3 points, Code Execution +50 points, Material Constraints +15 points
  • GPT-o3: Main leaderboard up 24.9 points, Code Execution +50 points, Material Constraints -5.9 points
  • GPT-6.1 Sol: Main leaderboard down 23.2 points, Code Execution -25 points, Material Constraints -20.9 points

Signals to Watch

  • No anomaly signals were retained for publication in this run.

When reading this type of Smoke brief, the focus should be on two questions: first, whether a model exposes the same type of weakness on consecutive days; second, whether its Integrity rating moves from pass to warn or fail. Large single-day changes in execution or constraint scores may come from question sampling or may be early signals of real degradation, requiring follow-up runs for confirmation.


Data source: YZ Index | Run #398 | View raw data

This article is from Winzheng Index blog, translated in full by Winzheng (winzheng.com). Click here to view the original When republishing the translation, please credit the source. Thank you!